afr-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2925
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2508 | 1.0 | 2673 | 4.4844 |
| 4.3076 | 2.0 | 5346 | 4.0607 |
| 3.9813 | 3.0 | 8019 | 3.8166 |
| 3.7675 | 4.0 | 10692 | 3.6253 |
| 3.609 | 5.0 | 13365 | 3.5060 |
| 3.4964 | 6.0 | 16038 | 3.4267 |
| 3.4149 | 7.0 | 18711 | 3.3696 |
| 3.3556 | 8.0 | 21384 | 3.3318 |
| 3.3115 | 9.0 | 24057 | 3.3034 |
| 3.2801 | 10.0 | 26730 | 3.2925 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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